Thinking in patterns is the key to interacting with a graph database like Neo4j. One of the main challenges I see with those with deep relational database experience when transitioning to a graph database is the use of a relational approach for querying data. To query a graph database most efficiently there is a need to update the mental model for how database query interactions are approached. We’ll look at some examples of this and making this transition to thinking in patterns.Read more….GraphGrid Data Platform is the complete Neo4j data platform, architected for the enterprise to unleash the full power of Neo4j, the world's leading graph database, into your modern graph data architecture.
Friday, March 18, 2016
Thinking in Patterns in Neo4j with Cypher
Thinking in patterns is the key to interacting with a graph database like Neo4j. One of the main challenges I see with those with deep relational database experience when transitioning to a graph database is the use of a relational approach for querying data. To query a graph database most efficiently there is a need to update the mental model for how database query interactions are approached. We’ll look at some examples of this and making this transition to thinking in patterns.Read more….
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